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-rw-r--r--include/actions.h6
-rw-r--r--include/nn.c27
-rw-r--r--include/nn.h10
-rw-r--r--include/pv.c2
-rw-r--r--include/pv.h4
-rw-r--r--include/tak.h2
-rw-r--r--include/weights_5.c550
-rw-r--r--include/weights_5.h2
-rw-r--r--include/weights_6.c678
-rw-r--r--include/weights_6.h2
-rw-r--r--src/match.c4
-rwxr-xr-xsrc/nn_train.py37
-rw-r--r--src/selfplay.c13
13 files changed, 674 insertions, 663 deletions
diff --git a/include/actions.h b/include/actions.h
index d96033c..748ea38 100644
--- a/include/actions.h
+++ b/include/actions.h
@@ -58,10 +58,8 @@ extern int8_t move_deltas[4];
void actions_init(const uint8_t board_size);
// Generate the legal actions. The move list is drawn from a static
-// per-search-level scratch buffer: one buffer per recursion level, so nested
-// generate calls at different levels do not clobber each other. `level' is the
-// recursion depth within the current search (0 at the root). The returned
-// pointer is valid until the next generate call at the same level.
+// per-search-level scratch buffer, per recursion level. The returned pointer is
+// valid until the next generate call at the same level.
action_t *actions_generate_at(tak_state_p state, uint32_t *num_actions,
const uint32_t level);
diff --git a/include/nn.c b/include/nn.c
index 8c85299..909b870 100644
--- a/include/nn.c
+++ b/include/nn.c
@@ -62,7 +62,8 @@ inline uint8_t cell_idx_at(const tak_state_p state, const uint8_t loc) {
default: {
// |{flat, standing, cap} * {black, white}| = 6
// index 1 .. 6
- return (uint8_t)(1u + 3u * TOP_COLOUR_AT(state, loc) + (d & STONE_MASK));
+ const uint8_t top_colour = TOP_COLOUR_AT(state, loc);
+ return (uint8_t)(1u + 3u * ((state->ply & 1) ? 1-top_colour : top_colour) + (d & STONE_MASK));
}
}
}
@@ -73,12 +74,12 @@ inline void nn_cell_idxs(uint8_t *out, tak_state_p state) {
out[loc] = cell_idx_at(state, loc);
}
-inline void nn_prepare_head(float out_head[3], tak_state_p state) {
+inline void nn_prepare_head(float out_head[2], tak_state_p state) {
const float inv_max_flats =
(state->board_size == 6) ? (1.0f / 30.0f) : (1.0f / 21.0f);
- out_head[0] = (state->ply & 1) ? 1 : -1;
- out_head[1] = (float)(state->white_count & 127) * inv_max_flats;
- out_head[2] = (float)(state->black_count & 127) * inv_max_flats;
+ const uint8_t idx = state->ply & 1;
+ out_head[idx] = (float)(state->white_count & 127) * inv_max_flats;
+ out_head[1-idx] = (float)(state->black_count & 127) * inv_max_flats;
}
// The cell indices computed by the most recent nn_prepare_input, and the hash
@@ -93,7 +94,7 @@ void nn_prepare_input(float *cur_board, tak_state_p state,
nn_cell_idxs(prepared_idxs, state);
prepared_hash = state->hash;
for (unsigned int loc = 0; loc < n_cells; loc++)
- cur_board[3 + loc] = embedding[prepared_idxs[loc]];
+ cur_board[2 + loc] = embedding[prepared_idxs[loc]];
}
// Copy the cell indices produced by the most recent nn_prepare_input into out
@@ -111,10 +112,10 @@ int nn_last_cell_idxs(uint8_t *out, tak_state_p state) {
// Implementation of small neural networks
// ===================================================================
-float eval_net(const float *board, const unsigned int n_inp,
- const float *w, const float *biases,
- const float *logit_w, const float logit_b,
- const unsigned int n_dense) {
+float eval_net(const float *board, const unsigned int n_inp, const float *w,
+ const float *biases, const float *logit_w, const float logit_b,
+ const unsigned int n_dense,
+ const float parity) {
float dense1[FIVE_DENSE_NUM]; // FIVE_DENSE_NUM == SIX_DENSE_NUM
float z = logit_b;
@@ -128,7 +129,7 @@ float eval_net(const float *board, const unsigned int n_inp,
for (unsigned int d1 = 0; d1 < n_dense; d1++)
z += dense1[d1] * logit_w[d1];
- return fast_tanh(z);
+ return parity * fast_tanh(z);
}
// ===================================================================
@@ -141,7 +142,7 @@ float five_nn_fn(tak_state_p state) {
nn_prepare_input(cur_board, state, five_embedding);
return eval_net(cur_board, FIVE_INP_NUM, &five_dense_weights[0][0],
five_dense_biases, five_logit_weights, five_logit_bias,
- FIVE_DENSE_NUM);
+ FIVE_DENSE_NUM, state->ply & 1 ? 1.0f : -1.0f);
}
float six_nn_fn(tak_state_p state) {
@@ -150,5 +151,5 @@ float six_nn_fn(tak_state_p state) {
nn_prepare_input(cur_board, state, six_embedding);
return eval_net(cur_board, SIX_INP_NUM, &six_dense_weights[0][0],
six_dense_biases, six_logit_weights, six_logit_bias,
- SIX_DENSE_NUM);
+ SIX_DENSE_NUM, state->ply & 1 ? 1.0f : -1.0f);
}
diff --git a/include/nn.h b/include/nn.h
index 871bd0f..3a2277a 100644
--- a/include/nn.h
+++ b/include/nn.h
@@ -31,7 +31,7 @@
// somewhat internal, important for generating training data
void nn_cell_idxs(uint8_t *out, tak_state_p state);
-void nn_prepare_head(float out_head[3], tak_state_p state);
+void nn_prepare_head(float out_head[2], tak_state_p state);
void nn_prepare_input(float *cur_board, tak_state_p state,
const float embedding[NN_N_EMB]);
@@ -41,10 +41,10 @@ int nn_last_cell_idxs(uint8_t *out, tak_state_p state);
// Network
// ===================================================================
-float eval_net(const float *board, const unsigned int n_inp,
- const float *w, const float *biases,
- const float *logit_w, const float logit_b,
- const unsigned int n_dense);
+float eval_net(const float *board, const unsigned int n_inp, const float *w,
+ const float *biases, const float *logit_w, const float logit_b,
+ const unsigned int n_dense,
+ const float parity);
// Evaluators for the two built-in networks.
float five_nn_fn(tak_state_p state);
diff --git a/include/pv.c b/include/pv.c
index 94c00d1..fb5f181 100644
--- a/include/pv.c
+++ b/include/pv.c
@@ -44,7 +44,7 @@ void pv_capture_leaf(pv_leaf_t *leaf, tak_state_p state,
nn_cell_idxs(leaf->cells, state);
for (uint8_t loc = n_cells; loc < PV_MAX_CELLS; loc++)
leaf->cells[loc] = 0;
- leaf->current_colour = (uint8_t)state->current_colour;
+ leaf->parity_sign = (state->ply & 1) ? 1.0f : -1.0f;
leaf->terminal = (uint8_t)(winner < 0xFF);
leaf->terminal_value = leaf->terminal ? terminal_value(winner) : 0.0f;
}
diff --git a/include/pv.h b/include/pv.h
index 06455fe..1754829 100644
--- a/include/pv.h
+++ b/include/pv.h
@@ -27,11 +27,11 @@
#define PV_MAX_CELLS (6 * 6)
typedef struct pv_leaf_s {
- float head[3];
+ float head[2];
uint8_t cells[PV_MAX_CELLS];
- uint8_t current_colour;
uint8_t terminal;
float terminal_value;
+ float parity_sign;
} pv_leaf_t;
// Capture a horizon leaf (winner == 0xFF) or an exact terminal leaf.
diff --git a/include/tak.h b/include/tak.h
index 324c41f..43dd1bd 100644
--- a/include/tak.h
+++ b/include/tak.h
@@ -55,8 +55,6 @@ typedef struct tak_state_s {
enum WIN_TYPE won;
enum COLOUR current_colour;
uint8_t white_count, black_count, ply, board_size;
- // incremental zobrist hash; maintained by action_take/action_undo and
- // re-anchored at the search root (see zobrist.h)
uint64_t hash;
} *tak_state_p;
diff --git a/include/weights_5.c b/include/weights_5.c
index 687e81e..528b4b2 100644
--- a/include/weights_5.c
+++ b/include/weights_5.c
@@ -1,294 +1,294 @@
/* generated by nn_train.py, do not edit by hand */
-/* v018, val_corr=0.9435, rate=0.7880 */
+/* v021, val_corr=0.9431, rate=0.8128 */
#include "weights_5.h"
const float five_embedding[7] =
{
- 0.0271974243, -0.585511148, -0.195969999, -1.67773426, 0.654105425, 0.252295405, 0.991936803
+ -0.111816011, -0.66451335, -0.323273391, -0.98435086, 0.463595748, 0.122227475, 1.10759342
};
const float five_dense_weights[FIVE_DENSE_NUM][FIVE_INP_NUM] NN_ALIGNED =
{
- {0.124223985, -0.0398298204, 0.442104936, -0.0755114704, 0.0112784756, -0.154642373, -0.095966056, 0.0479841046,
- 0.122625157, -0.147026554, -0.0798666477, -0.231773823, 0.0526055656, -0.0517086647, 0.0182236452, 0.000143513549,
- 0.057050854, 0.151226595, 0.0512125269, -0.263018429, 0.0338710696, -0.0653838739, -0.0450588651, 0.0342408828,
- -0.129446298, -0.151560262, -0.114411578, -0.130198792},
- {0.183917969, 0.270581603, -0.286218137, 0.200253069, 0.138144121, 0.164384082, 0.0184991471, 0.0741592273,
- -0.00477701332, 0.0852540582, 0.0204615425, -0.00764832133, 0.220107257, -0.102382302, 0.0841847062, -0.0282375943,
- 0.0790290907, 0.0902308524, 0.0881390199, 0.0841720104, 0.167469054, 0.073158659, 0.0895482078, 0.0388522781,
- 0.015290767, 0.185586229, -0.0323093198, 0.126043826},
- {-0.0903893262, -0.374020278, 0.233034179, -0.157876059, 0.0949935913, -0.224158883, -0.12354736, -0.0661603063,
- -0.133901939, -0.140902162, -0.270809799, -0.147912577, -0.064557299, -0.221630201, -0.208277494, -0.280185074,
- 0.125906304, -0.153770238, -0.0713656694, 0.0053616548, -0.0313395485, -0.170316398, -0.0605885126, -0.235900387,
- -0.157116771, 0.00241961423, -0.0820510462, -0.081060186},
- {-0.14454715, -0.982014358, 0.235154107, -0.0797742009, 0.0215494037, -0.11536704, -0.129991964, -0.201552749,
- -0.173719257, -0.0625208914, 0.0587469488, -0.286277175, -0.219805181, -0.0408651829, -0.159050345, 0.0828470215,
- 0.00416021654, -0.0875479653, 0.0531577021, 0.0478147119, -0.224265546, -0.183513686, -0.192842126, 0.0580152087,
- 0.0161686223, -0.203335121, -0.0414060727, -0.038819544},
- {0.0480308086, -0.212108284, 0.365251422, 0.0129341949, -0.125312969, -0.107484236, -0.00437643286, -0.132904723,
- 0.0672981665, 0.0425384268, -0.0641572848, -0.221844912, -0.0285976157, -0.0383862779, -0.0324791931, 0.056241136,
- -0.118307576, -0.0505812913, -0.272025377, -0.0530301444, -0.118473411, 0.0342970304, -0.00507636229, -0.105834618,
- -0.0868522897, 0.0509563573, -0.136580959, 0.0439617038},
- {-0.109857008, -0.569389105, 0.365163207, -0.0437580124, -0.138673335, -0.0440861769, -0.0190834999, -0.167106792,
- -0.191086158, -0.113774486, -0.19339712, -0.222587109, -0.144994572, -0.0544047803, 0.0116045177, -0.24889186,
- -0.0318637826, -0.0763775632, -0.080920428, -0.289673775, -0.227832466, -0.0515492633, -0.088042587, -0.14912042,
- -0.203516752, -0.211594328, -0.136905372, -0.205074474},
- {0.0444115736, -0.0910449699, 0.514601529, -0.0243934039, -0.139382422, 0.082255505, -0.197201833, -0.104645215,
- 0.0156376027, 0.00461203977, -0.198983505, -0.152663365, -0.043717999, -0.0873160139, -0.110288493, -0.022582246,
- 0.00954708364, -0.115393661, 0.0186134987, -0.100035235, -0.0963965803, -0.172805145, -0.00274219154, -0.0161741413,
- -0.0776032358, -0.0917994678, -0.194066316, 0.103619404},
- {0.00649354188, 0.37663278, -0.386316955, 0.0834508762, 0.196375802, 0.0203620605, 0.0812203735, 0.0374289118,
- 0.0512966402, 0.111390628, 0.100328431, 0.0812845081, 0.12390513, 0.13985087, 0.191595301, 0.253740668,
- 0.0613994002, -0.0308810472, 0.0485394485, 0.176652342, 0.0745857954, 0.206164628, 0.0740946531, 0.11191041,
- 0.207364276, -0.155406088, -0.0576755069, 0.0669720322},
- {-0.00444121612, 0.0793555602, 0.390720248, -0.0370217934, -0.060420014, -0.17472823, -0.128687784, -0.0562848896,
- -0.200554535, -0.117584094, -0.229736671, -0.0492684208, -0.09022028, -0.202754006, -0.145906717, -0.0469560921,
- -0.108592667, -0.15590696, 0.104072399, -0.233957559, -0.241865575, -0.162876457, -0.134896994, 0.0168750416,
- -0.106359892, -0.206103921, -0.114564195, 0.0406271257},
- {-0.0579300262, -0.983953953, 0.27863729, -0.0652026981, -0.0805736631, -0.141590416, 0.0417990312, -0.369090438,
- -0.189297214, -0.040947821, -0.291509479, -0.220988795, -0.118952155, -0.0173201263, -0.143645421, -0.0342713632,
- -0.00537217828, -0.0788097605, -0.0838199332, -0.129369318, -0.0307453983, -0.145783737, -0.2524966, 0.062318705,
- -0.0391301997, -0.104023471, -0.10497918, -0.0632607266},
- {-0.152529836, 0.51327163, -0.711286724, 0.266755104, 0.257947773, 0.18635492, 0.151017815, -0.0183920749,
- 0.125404969, 0.329953462, 0.324240685, 0.177773073, 0.0860135183, -0.0581600331, 0.164070696, 0.200355977,
- 0.234334707, 0.0961033925, 0.0281405039, 0.154808745, 0.16040729, 0.153179064, 0.0775105283, 0.195915878,
- 0.0699409023, 0.157391369, -0.0650845245, 0.126059905},
- {-0.155075312, -0.349529713, 0.338783115, -0.00588238658, -0.096362479, -0.0810029134, -0.119058512, -0.173272088,
- -0.275055319, -0.144315422, 0.0350244567, -0.1520987, -0.0903588459, -0.0725689381, -0.0654214397, -0.0249244235,
- -0.224396199, -0.170598716, -0.107215658, -0.0130644925, -0.166149363, -0.124860071, 0.0409183726, -0.0829451829,
- -0.13249056, -0.106824338, -0.0681729987, -0.0746641532},
- {-0.0877338126, -0.518667877, 0.35693121, -0.129674315, -0.12567547, -0.10828688, -0.173491657, -0.287570655,
- -0.241928592, -0.0961062461, -0.0477689467, 0.0126916887, -0.200543597, -0.23854585, -0.316866159, -0.19169943,
- -0.122926608, -0.0588275418, -0.153226241, -0.145912975, -0.0325847939, 0.0243837386, -0.108105414, -0.157988042,
- -0.0208685212, -0.0808694735, -0.0474817455, -0.0994654968},
- {0.0111736888, 0.405573875, -0.320458531, 0.216697127, 0.178403109, 0.196642205, 0.0332784243, 0.0167255234,
- 0.17611821, 0.0855869651, 0.0903988406, 0.09081655, 0.0375520959, 0.130508184, 0.100315847, 0.00371122593,
- 0.000214853455, 0.109945215, 0.054071933, 0.0915734172, 0.0951421186, 0.0594639704, 0.0784481838, -0.0240127835,
- -0.0530941524, -0.0149255022, -0.0109167285, 0.153801948},
- {-0.0334801115, 0.375140548, -0.262623519, 0.0683505014, 0.0227235667, 0.132804379, 0.066467084, 0.00631325413,
- 0.0797184408, 0.0388317183, 0.0304597858, 0.0812837631, 0.106026545, 0.141254976, 0.143277273, 0.0724338368,
- 0.0658938065, 0.0628257766, 0.156903684, 0.171515569, 0.10232801, -0.00829768926, -0.0208377969, -0.141262203,
- 0.104675859, 0.0361110233, 0.105273694, 0.0852346197},
- {-0.0221086517, -0.175828159, 0.292970002, 0.0216172487, -0.0294659175, -0.172518209, 0.00117052638, -0.0171109084,
- -0.0824435726, -0.0623124912, -0.0941901803, -0.0950797647, -0.0924489871, 0.0419508629, -0.0978367478, -0.177920222,
- 0.164424568, 0.0265841056, -0.10323336, 0.0508967005, -0.232040226, -0.111805141, -0.0326483771, -0.00402997341,
- -0.046355404, -0.0795721635, -0.251987636, -0.176787153},
- {-0.0681016743, -0.709930599, 0.294077218, -0.152691856, -0.0605734549, -0.0260352865, -0.210110039, -0.306856066,
- -0.0541928895, -0.117356077, -0.0197649375, -0.075984627, -0.018186681, -0.0766129345, 0.0710072219, 0.0146783004,
- -0.065950118, -0.0481621921, -0.0840052217, -0.181383744, -0.0250065327, -0.123542674, -0.0960827693, -0.0553806238,
- 0.00733878836, -0.0660301372, 0.0797863826, 0.00690877391},
- {0.00919015612, -0.655910552, 0.362791955, -0.202046648, -0.102489494, -0.0711513087, -0.0569700859, -0.114943765,
- -0.102574244, -0.104833186, -0.0624228381, -0.224827752, -0.132786751, -0.0877800435, -0.0197172463, -0.162691444,
- -0.226539969, -0.00677046645, 0.135594651, -0.0362663604, -0.0780884922, -0.090798378, -0.109237589, -0.104803152,
- -0.0361430645, -0.0537159853, -0.186215147, 0.00428524893},
- {0.0302476306, 0.0604504123, 0.342717975, -0.137609944, -0.0346556902, -0.185827568, -0.107022658, -0.158501908,
- -0.145183876, -0.104043953, -0.153413668, -0.157458276, -0.141557768, -0.226236045, -0.200905174, -0.220961779,
- -0.133601278, -0.0118303392, -0.0817856714, 0.0920279175, -0.165123224, -0.0327404439, -0.128449261, -0.123802722,
- -0.145280197, -0.130440697, -0.0681175292, -0.108019441},
- {0.10650222, 0.290440261, -0.537952006, -0.00880758837, 0.137503117, 0.186554804, 0.13703388, 0.0727897361,
- -0.0504473038, 0.169302762, 0.169176146, 0.186401665, 0.0257190857, -0.0997446254, 0.00924486388, 0.0371505097,
- 0.148548082, 0.183681205, 0.076500684, 0.0274001975, -0.0353530161, 0.122478828, 0.272741377, 0.309026986,
- 0.0540189594, 0.222155005, 0.143203735, 0.235792965},
- {0.0931999683, 0.343627006, -0.378675938, 0.273699343, 0.284025759, 0.200707674, 0.159127578, -0.10677743,
- 0.166611403, 0.0280674584, 0.0265400726, 0.103091046, 0.00294392509, 0.113793507, 0.00739109516, 0.079651922,
- 0.0941281468, 0.0502928011, 0.0591660775, -0.0310309809, 0.0803769156, 0.00981041323, 0.112384371, 0.00868606288,
- -0.00647499505, -0.0323496684, -0.0960769355, 0.226919383},
- {0.0111456234, 0.416915089, -0.214710951, 0.0673409104, 0.0167781748, 0.0090082828, 0.096073322, -0.0567945577,
- 0.0578191988, 0.102223523, 0.0786926597, -0.0294003729, 0.131871477, 0.162027612, 0.111536041, 0.155495211,
- 0.0300401226, 0.156155497, 0.106989421, 0.152802259, 0.184359148, 0.049999468, -0.0257097073, 0.0515192449,
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+ 0.139548704, 0.0436924845, 0.0616719499, 0.144604117, 0.159158483, 0.0420498364, 0.0324096233, -0.000715754228,
+ 0.0851745233, 0.226061374, 0.133464649, 0.063581191, 0.0425675251, 0.140226841, 0.493301868, 0.261711568,
+ 0.33839944, 0.241718829, 0.211702913},
+ {0.680942357, -0.921306312, 0.143372208, 0.00767845288, 0.124762543, 0.0487947352, 0.00219840859, 0.0856792331,
+ 0.153107554, 0.145460173, 0.178919986, 0.0356529206, 0.178734273, 0.20903568, 0.239826441, 0.11746756,
+ 0.036412131, 0.137592047, 0.21512334, 0.399956256, 0.162690476, 0.135854736, 0.017693026, 0.13674739,
+ 0.265127927, 0.189316303, 0.147545919},
+ {0.208872452, -0.56664288, 0.158555776, -0.0628495365, 0.00224737707, 0.12775071, 0.223413497, 0.0944168717,
+ -0.0752880499, 0.0484407097, 0.00523728272, 0.179766402, 0.0901073143, 0.0839064717, -0.00416981103, 0.169999242,
+ 0.140722185, 0.136145249, 0.200115979, 0.124631949, 0.192199409, 0.197580442, 0.245611683, 0.171915039,
+ 0.124507569, 0.171031937, 0.272799194},
+ {0.417655796, -0.476884097, 0.125178307, 0.138402343, 0.122928627, 0.0407426171, -0.0386365689, -0.0399021991,
+ -0.0538207963, -0.00483809039, -0.103123933, -0.0660489798, -0.00264962274, 0.0245594848, -0.1476904, -0.0151537172,
+ -0.05937244, -0.0264183395, 0.169120625, -0.0389649346, 0.0546859689, 0.157597214, -0.0442446768, 0.0855880827,
+ -0.0361807272, 0.160296679, 0.126738638},
+ {-0.378693879, 0.234500527, -0.190678969, -0.0408783667, -0.0962519348, -0.0968703181, -0.0695852414, -0.052617386,
+ -0.0566320494, -0.030750433, 0.00375046162, -0.161522672, -0.102120131, -0.22629337, -0.106760956, -0.146758765,
+ -0.141566396, -0.0715286285, -0.163557917, 0.0111427922, -0.148292646, -0.125399783, -0.14243643, -0.0905193985,
+ -0.0655139461, -0.151807159, -0.0969011113},
+ {0.319175929, -0.390873164, 0.162176296, 0.124978416, 0.0850441828, 0.170238972, 0.0939667448, 0.012011149,
+ -0.0808500201, 0.034518946, -0.0188699961, 0.0581693016, 0.0706431717, -0.0250454322, 0.0160313696, 0.010380323,
+ 0.0462402031, 0.122048303, -0.0181347933, 0.0618357733, -0.0417718962, 0.0354376771, 0.21614033, -0.00287851505,
+ 0.0546622947, 0.106041074, 0.0957214385},
+ {-0.0670246482, -1.40860128, 0.385309309, 0.349619895, 0.254730135, 0.381623566, 0.372816622, 0.143932596,
+ 0.231021345, 0.183745623, 0.487929821, 0.261497676, 0.0391980596, 0.00960394647, 0.0209474098, 0.323108107,
+ 0.295323312, -0.0106031494, -0.019115122, 0.107793093, 0.215048447, 0.287489712, -0.0252881944, -0.0110332165,
+ 0.158037543, 0.215606093, 0.297919482},
+ {0.518265128, -0.554099798, 0.155733109, 0.217394069, -0.00727637438, 0.0509682149, 0.0364470147, 0.0760326535,
+ -0.0653701127, -0.0100978864, -0.00425550062, -0.0749389157, 0.16120562, 0.094311446, -0.0194558278, 0.00408704067,
+ -0.0575511828, 0.162599027, 0.0255256798, -0.0737488493, -0.0144423246, -0.065677762, 0.0394451693, -0.0141895954,
+ -0.0202025231, 0.093421936, -0.0464882702},
+ {0.312840044, -0.380728394, -0.0199242439, -0.0637602359, 0.0460897982, 0.141509652, 0.15347515, 0.0186699014,
+ -0.013868222, 0.0199913848, 0.11250025, 0.16548267, 0.0405571349, 0.0821778774, 0.0206979979, 0.146862358,
+ 0.149970472, 0.0421114415, 0.075723201, 0.0326593183, 0.0781190991, 0.229785904, 0.131655306, 0.13332288,
+ 0.0875106752, 0.151138783, 0.27515617},
+ {0.557796419, -0.271105945, -0.135938123, -0.151212856, 0.0132599631, -0.0137977209, -0.0509882905, -0.0312622562,
+ -0.019643601, 0.103897847, 0.131554917, -0.0328879319, 0.0658909753, 0.0384253003, -0.027326636, 0.0832217187,
+ 0.232588783, 0.0897849947, -0.0285363011, 0.0138111468, 0.157057226, 0.13869454, 0.138953358, 0.0367785133,
+ 0.108918607, -0.00833133049, 0.0772368535},
+ {-0.37025696, 0.34698841, -0.164301068, -0.11555206, -0.0598055869, -0.0667800233, -0.192380622, -0.133737028,
+ -0.148593411, -0.121925727, -0.182414263, 0.0567184947, -0.163480595, -0.0992843583, -0.098942548, -0.0350599326,
+ -0.141002417, -0.0181282423, -0.102291852, -0.12211825, -0.050163269, -0.169281945, 0.0569266453, -0.165352061,
+ -0.137477815, -0.140887201, -0.151714861},
+ {0.341095716, 0.120465197, -0.0823300853, 0.0446427129, 0.116162814, -0.0311227329, -0.0962972417, 0.121854618,
+ 0.178456798, 0.17567645, 0.211310029, -0.0196751002, 0.0548262298, 0.155282319, 0.233292669, 0.251868308,
+ -0.000533286599, 0.119322225, 0.0134889092, 0.185203642, 0.0429295786, -0.014763101, -0.00590737863, 0.11673785,
+ 0.170903519, 0.10979344, -0.103873558},
+ {-0.897909045, -4.69421911, 0.205406263, 0.221727297, 0.287078679, 0.236628547, 0.273687661, 0.127462909,
+ 0.109897971, 0.073557958, 0.127785787, 0.27025798, 0.343787134, 0.0976620317, 0.0679073483, 0.149988249,
+ 0.310341835, 0.272185922, 0.145391867, 0.0645254478, 0.116608068, 0.205105051, 0.239113867, 0.26975742,
+ 0.239295334, 0.251002461, 0.368724138},
+ {0.46915853, -0.406623274, -0.0563587062, 0.0319628939, 0.00552898366, 0.0744318292, -0.0347990282, -0.0205581076,
+ 0.143796533, -0.0096650701, 0.0877068862, 0.03160749, -0.0150092496, 0.135088384, 0.0219495893, 0.204218864,
+ 0.141957134, 0.123692684, 0.0519869141, 0.0334522016, 0.0812455863, 0.164413199, -0.00818906166, 0.142093509,
+ -0.0542448945, 0.0896779522, 0.166852266},
+ {0.383818626, 0.5958004, 0.179428756, -0.199397787, -0.0665481761, 0.0298313871, 0.0531812124, -0.099887006,
+ -0.0909599662, 0.0614290833, -0.137692958, -0.0850088, 0.0179387033, -0.215907767, -0.149531767, -0.120972522,
+ -0.0475872681, -0.0269163623, -0.0605346672, -0.0730663911, -0.171813294, -0.0476032384, 0.0958294868, 0.119042337,
+ -0.00923403725, -0.0993423238, 0.0409177542},
+ {0.3616153, -0.314780414, 0.00147321285, 0.152476445, 0.107074946, 0.0903646946, 0.104922041, 0.0444336571,
+ 0.159591213, 0.185087025, 0.0905429274, 0.10870064, 0.0832449198, 0.168035105, 0.182690784, 0.167314902,
+ 0.22124286, 0.0716655925, 0.222487181, 0.170204401, 0.219096646, 0.123106085, 0.103201479, 0.159390971,
+ 0.221044376, 0.168632194, 0.0915424451},
+ {0.421613634, -0.399082035, 0.188590765, 0.0627617463, 0.0969695821, 0.0426679999, 0.166313916, 0.170439288,
+ 0.0876998007, 0.174340814, 0.0343694836, 0.165511653, 0.0109075084, 0.0775722191, 0.0283280853, 0.0268163495,
+ 0.0482661054, 0.14014411, 0.0834662691, 0.108136475, 0.165458322, 0.00956256408, -0.0849840567, -0.0127592999,
+ -0.0575121529, 0.0770347789, 0.0570578277},
+ {0.477435529, -0.437617123, 0.051619228, 0.0460120589, 0.133850917, 0.0485309288, 0.0280636847, 0.150195047,
+ 0.0609800033, 0.154566348, 0.0803388208, 0.0859349668, 0.0108320387, 0.108330056, 0.102925889, -0.010396854,
+ 0.0443971418, -0.0418371633, 0.0945528969, 0.0176850855, 0.00766494684, 0.0170383062, -0.0763792694, -0.0465995222,
+ -0.035655763, -0.00451016938, 0.0673447475},
+ {0.422291368, -0.205917373, 0.0924348161, 0.193689808, 0.0701295808, 0.0885713845, 0.0376715511, 0.203721657,
+ 0.0885817409, 0.171860799, 0.077528879, 0.0877082869, 0.198015884, 0.0744842067, 0.20866628, 0.135688141,
+ 0.126205251, 0.156737089, 0.150870427, 0.0138880163, 0.0737325549, 0.0229568612, -0.0833026916, 0.0664714128,
+ -0.040268179, 0.0152530838, -0.00160295411},
+ {-0.385712832, 0.214391112, 0.070799306, -0.096141614, -0.16453445, -0.155173481, -0.108835906, -0.115385033,
+ -0.090645358, -0.1448268, -0.101075649, -0.107898541, -0.0970059186, -0.168248281, -0.147197112, -0.012966631,
+ -0.0107423384, -0.145579457, -0.148254678, -0.01620299, -0.106271997, -0.192775249, -0.183934942, -0.085250333,
+ -0.138067365, -0.00160986977, -0.0595375448},
+ {0.383369058, -0.0776197985, 0.0314927883, 0.0393924117, 0.168874964, 0.139704168, 0.106199935, 0.0242452268,
+ 0.0995552838, 0.153926596, 0.175399214, 0.0885702148, 0.107615627, 0.0630444065, 0.136611223, 0.120922558,
+ 0.112005487, -0.00127684651, 0.081233032, 0.0298437476, 0.0945131332, 0.0783420503, 0.064549543, 0.06753584,
+ 0.110518299, 0.136796266, -0.0654531941},
+ {-0.398568809, 0.199587286, -0.0846925229, -0.216599524, -0.0957491249, 0.0205594394, -0.155364677, -0.142765552,
+ -0.0461665243, 0.0110024186, -0.121991016, -0.0460250005, -0.0774515718, -0.0125134084, -0.0688956976, -0.164693028,
+ -0.211418837, -0.103768639, -0.122238405, -0.112455241, -0.0825687349, -0.118332535, -0.0648693442, -0.0670684129,
+ -0.242567211, -0.0624209307, -0.0826468915},
+ {-0.26545167, 0.355324924, -0.269972384, -0.0857584178, -0.0465858616, 0.0337751359, 0.00990587194, 0.0115580428,
+ -0.133223355, -0.13316004, -0.019466199, -0.0940565914, -0.093563959, -0.100755326, -0.0905914381, -0.147906974,
+ -0.0748415738, -0.0370743126, -0.0230461154, -0.198925689, -0.20902808, -0.109874807, 0.0244780127, -0.0670853034,
+ -0.0519143417, -0.163116768, -0.105297022},
+ {0.31931302, 0.547459543, 0.0880753249, -0.062735498, -0.0503338724, -0.0764781907, 0.126512289, -0.140330151,
+ 0.0138528449, -0.106777489, -0.0472263433, -0.0315330811, 0.0223370809, -0.129384652, -0.144970268, -0.122217946,
+ -0.0666366145, 0.0539318547, -0.0438860506, -0.157488108, -0.204093114, -0.0276077315, 0.117251448, -0.110314354,
+ 0.0731730983, 0.0449753292, -0.0369386263},
+ {-0.266658574, 0.216644511, 0.0144204367, -0.0806930289, -0.22242038, -0.12643759, -0.0142633347, -0.151167005,
+ 0.0276681464, -0.116149977, -0.0712868497, 0.00156799273, 0.0262473337, -0.160810307, -0.105704002, -0.125064746,
+ -0.157742158, -0.173769936, -0.111742049, -0.0202498939, -0.0036939471, -0.0889281705, -0.106493376, -0.0859038234,
+ 0.0296278801, -0.163682491, -0.0782464445},
+ {0.00354540255, 0.420924097, 0.169512987, -0.0258780308, -0.0895950943, -0.106438994, -0.0408810042, -0.0940106884,
+ -0.0642131791, 0.0186908916, -0.0822453871, -0.160974473, -0.13742575, -0.173319608, -0.195523262, -0.0196603332,
+ -0.0350941867, -0.160319299, -0.119695529, -0.174402416, -0.0781966373, -0.0856283084, 0.0131161194, -0.109612837,
+ -0.120244138, 0.0165597238, 0.0675070062},
+ {-0.278506458, 0.3738904, -0.125549883, -0.0415136851, -0.225196004, 0.0471161343, -0.112398431, -0.00679458445,
+ -0.141953319, -0.192300454, -0.0989379138, -0.0562743135, -0.126593485, -0.235259488, -0.0563514717, 0.000541815767,
+ -0.0657910556, -0.109945782, -0.0276576448, -0.142048702, -0.161862046, -0.0975759551, -0.0627105087, -0.0598262586,
+ -0.0786498636, -0.155082062, -0.0157313831},
+ {-0.55413568, 0.0202759523, -0.235556498, -0.143557742, -0.132204145, -0.130727574, -0.0438120514, -0.170451298,
+ 0.0131008318, -0.176760748, -0.150862694, -0.12528348, -0.0954406857, 0.0310935993, -0.0661759451, 0.00816991646,
+ -0.152494282, -0.0621983558, -0.121914424, -0.193032652, -0.0904289559, -0.0863325149, -0.104844026, -0.0741641968,
+ -0.0228042435, -0.187413111, -0.162609577},
+ {0.485976547, -0.189988092, -0.0003588986, 0.17151244, 0.0998663455, 0.103645243, -0.05487106, 0.0725467801,
+ 0.0682763979, 0.0675051957, 0.0852867514, -0.0596668385, -0.00893313531, 0.109018549, 0.166358188, 0.223492667,
+ 0.111480385, 0.0559710898, 0.0776525959, 0.140913159, 0.143883765, -0.0095132608, 0.110375226, 0.019682508,
+ 0.0774076283, -0.0158048347, 0.0246655736},
+ {-0.140471548, 0.402499974, -0.0232743174, -0.136925817, -0.0865993947, 0.00443352247, 0.055207476, -0.0350629054,
+ -0.0854582861, -0.17693159, -0.0253951941, -0.155755132, -0.184742153, -0.0597181469, -0.133559436, -0.0292834379,
+ -0.126847684, -0.0917475522, -0.0886207744, -0.236236289, -0.163285226, 0.000951068825, 0.0517877229, 0.0205014329,
+ -0.140833616, -0.112022206, -0.0224563554},
+ {-0.469557047, 0.0208313558, -0.145046726, -0.0819347948, -0.0256711114, 0.100511104, -0.199989334, -0.125898451,
+ -0.0655753985, -0.0448276848, -0.00316228555, -0.0757711679, -0.0135262152, -0.0920219123, -0.042041257, -0.0200816002,
+ 0.0232402068, -0.108371332, -0.152907148, -0.184440449, -0.136486232, -0.154705539, -0.211260378, -0.0912795365,
+ -0.126199439, -0.0802948773, -0.140814647},
+ {-0.249324769, 0.368552059, -0.032402385, 0.0652965158, -0.0383552313, -0.243027195, -0.012590345, -0.0551861823,
+ -0.0390262082, -0.183737651, -0.0706432536, -0.159616888, -0.156150624, -0.190365016, -0.0898740962, -0.0677146986,
+ -0.0370336026, -0.149673626, -0.191402137, -0.246475443, 0.0203555189, 0.0176247768, -0.0742982924, -0.021756392,
+ -0.0343282968, -0.00448664837, -0.0423567258},
+ {-0.146918356, 0.447307825, -0.143606752, -0.0969513431, -0.0310435724, -0.0160554368, -0.0268079266, -0.0412539244,
+ -0.102859691, -0.100135177, -0.193884194, -0.0130110625, -0.0967244878, -0.0163912624, -0.0904889107, -0.19804363,
+ -0.149922729, -0.0109635526, -0.0905889943, -0.114994846, -0.0114435479, 0.0449921228, -0.0197346658, -0.0197591614,
+ -0.101547442, -0.0553377345, -0.104216985},
};
const float five_dense_biases[FIVE_DENSE_NUM] =
{
- -0.10617651, 0.0154197877, 0.117111742, 0.0102650877, -0.0448654294, 0.126132563, -0.0500919819, 0.0159013756,
- 0.0496373884, 0.084379822, -0.00225325767, 0.0812280104, 0.0491173491, 0.0674164817, 0.0837717131, 0.0212170333,
- 0.0402449444, 0.0646258593, 0.0199432168, 0.165128812, -0.0247633122, 0.174038321, 0.138526052, 0.0143451681,
- -0.0253094565, 0.0728244409, 0.111286744, -0.448067099, 0.0112198424, -0.0453164801, 0.0155658703, 0.0870072767,
- -0.0218650661, 0.125383839, 0.133538574, 0.0686686113, -0.103338301, 0.0217641667, -0.0431467518, 0.150365531,
- 0.116416521, -0.0184898619, 0.0454672761, 0.0856234804, -0.00140490883, -0.0644598156, 0.0778391585, -0.0264345333,
- 0.0395229757, 0.174890205, 0.163560331, 0.106107652, -0.0916002616, 0.0171617456, 0.0535748713, 0.134761348,
- 0.037883196, -0.0293981228, -0.015096793, 0.0806951076, 0.0568698086, 0.217878923, 0.00285294349, -0.130014911
+ -0.145204157, -0.0277402811, 0.211434156, -0.117382497, -0.132206768, 0.21691145, -0.0433791168, 0.27201575,
+ 0.129949957, 0.304839015, -0.0968279541, 0.277042836, -0.115271628, -0.079115212, -0.16494669, -0.0510745384,
+ -0.144819096, 0.0475319512, -0.0802276954, 0.188885778, -0.182127863, 0.329600185, -0.150753573, 0.0957632288,
+ 0.0111581245, 0.157950222, -0.141521424, -0.190296218, 0.248286828, -0.0684776604, 0.137061238, 0.415693849,
+ 0.395839244, 0.360719889, 0.205312118, -0.0245424975, 0.112486944, 0.361877054, 0.0785427466, 0.267031074,
+ 0.240074143, 0.0293443501, 0.227391914, 0.594486654, 0.314840108, -0.141555116, 0.440181881, 0.315535516,
+ 0.293939352, 0.255981237, -0.0057315263, 0.236052379, -0.140156507, 0.0054772296, -0.150556788, -0.0183430873,
+ -0.0312510394, -0.00800710451, -0.0939261094, 0.164174587, -0.0876725167, -0.129597217, -0.0221878439, -0.0834591836
};
const float five_logit_weights[FIVE_DENSE_NUM] NN_ALIGNED =
{
- -0.152189046, 0.31145522, -0.501055002, -0.430743396, -0.188517824, -0.644860923, -0.305823237, 0.34793064,
- -0.355522096, -0.604841352, 0.429184705, -0.433712095, -0.556476772, 0.400933564, 0.253976047, -0.234569505,
- -0.447005302, -0.503887117, -0.42374301, 0.404452264, 0.363007545, 0.28902337, 0.452245891, 0.248775348,
- -0.242137939, -0.410595566, 0.439538449, 0.265520841, -0.30932796, -0.992903769, -0.165342614, 0.125757992,
- -0.483581424, -0.543122172, 0.357163519, 0.418349832, -0.152612984, -0.494201779, 0.198039696, -0.249059439,
- -0.665596426, -0.246806905, 0.261523813, -0.303902447, -0.494532794, -0.474734098, 0.359146118, -0.245298445,
- -0.306960076, 0.334577858, 0.594795048, 0.481912762, -0.306986272, 0.314059317, -0.20452112, 0.369527459,
- 0.188040748, -0.312300235, -0.393799305, -0.394559473, 0.270650476, 0.466186255, -0.212885186, 0.822468579
+ 0.37051487, 0.508214772, -0.32005766, 0.27220732, 0.374211431, -0.264154106, 0.270360202, -0.629945159,
+ -0.199804112, -0.563038468, 0.516418219, -0.688697159, 0.48299551, 0.404973507, 0.551129878, 0.321002781,
+ 0.335608274, 0.337184101, 0.424715966, -0.131399259, 0.319061458, -0.486196607, 0.233341113, -0.142906249,
+ 0.330237418, -0.189801574, 0.355688512, 0.267817706, -0.514791608, 0.227719396, -0.158957332, -0.924359977,
+ -0.623777807, -0.700493455, -0.171029702, 0.379386812, -0.238112986, -0.526128888, -0.205522895, -0.512478709,
+ -0.175714538, 0.367500365, -0.275081784, -1.24400628, -0.298168987, 0.275398135, -0.823152721, -0.455135852,
+ -0.339576572, -0.454856992, 0.44089666, -0.403158367, 0.365665168, 0.305184871, 0.178278625, 0.3014597,
+ 0.215111017, 0.386294872, 0.421103477, -0.326511413, 0.342057288, 0.267303318, 0.311787248, 0.310548276
};
-const float five_logit_bias = -0.0201850198;
+const float five_logit_bias = -0.10439048;
diff --git a/include/weights_5.h b/include/weights_5.h
index 16a9465..8ad9d1b 100644
--- a/include/weights_5.h
+++ b/include/weights_5.h
@@ -18,7 +18,7 @@
#ifndef WEIGHTS_5_H
#define WEIGHTS_5_H
-#define FIVE_INP_NUM 3 + 5 * 5
+#define FIVE_INP_NUM (2 + 5 * 5)
#define FIVE_DENSE_NUM 64
// this does some kind of magic vectorisation
diff --git a/include/weights_6.c b/include/weights_6.c
index d6f1720..77ea409 100644
--- a/include/weights_6.c
+++ b/include/weights_6.c
@@ -1,358 +1,358 @@
/* generated by nn_train.py, do not edit by hand */
-/* v039, val_corr=0.9984, rate=0.5600 */
+/* v000, random init */
#include "weights_6.h"
const float six_embedding[7] =
{
- -0.491239011, -0.164351299, 0.315244704, -0.408277124, -1.12078834, -0.247899964, -0.432551205
+ 0.724845707, -0.209938288, -0.347967505, 0.821479738, -1.34644675, 0.0270497333, 0.450257659
};
const float six_dense_weights[SIX_DENSE_NUM][SIX_INP_NUM] NN_ALIGNED =
{
- {0.000515430293, -0.298784435, 0.62231493, 0.0323850475, 0.0385943204, 0.0285285804, -0.016271675, -0.0102855777,
- 0.033854086, -0.0137079237, -0.00766045321, -0.0456512161, 0.0368293896, -0.0340741239, 0.00556757394, 0.0188402627,
- 0.011593909, 0.00945147779, 0.010083776, 0.0180580597, 0.0113453642, -0.000227583107, 0.0108447392, -0.00744308531,
- -0.0363589488, 0.0303659756, 0.0157463327, 0.0657714084, 0.056025967, -0.0448410586, 0.00165178603, -0.0220403988,
- -0.0209411625, -0.0368541107, -0.00368512096, 0.0481802635, 0.026718542, 0.0638203025, 0.012227702},
- {0.0210265629, 0.527348399, 0.0204438455, -0.0902165696, -0.159904867, -0.0364844389, 0.170804992, -0.0380741917,
- -0.0687031448, -0.0762568936, 0.147749931, -0.0238340627, -0.0333135873, 0.173204139, 0.0163496751, -0.1363561,
- 0.0698596463, -0.0110030584, -0.120799668, -0.00102014968, 0.0262002237, 0.153164923, -0.346185416, 0.0119888447,
- 0.0160433464, 0.0645738915, 0.178656578, 0.17158182, -0.0665100738, -0.0170366727, 0.115964942, 0.136816874,
- 0.128347576, -0.104385257, -0.192399427, 0.0228087585, -0.11225424, 0.0531408899, -0.230817065},
- {-0.0111455098, -0.0311942883, -0.722582996, 0.0854720697, 0.029796375, -0.121352077, -0.02702819, -0.0443954282,
- -0.0341324881, -0.0473326072, -0.0651621521, 0.00395203242, 0.0329355784, 0.0303115901, 0.0402303673, 0.304905385,
- -0.0120472237, -0.0572359934, -0.034557566, -0.0483472347, 0.0155713912, 0.290411711, 0.0248964559, 0.00708099222,
- 0.0928736925, -0.0307320468, -0.00614209892, 0.00442513684, 0.0593936294, 0.0320092067, 0.0380841196, -0.00877786335,
- -0.142653719, -0.152617678, 0.326618522, 0.0496250652, -0.0673352852, 0.019693438, -0.0749565139},
- {-0.0203997865, -0.0776734725, -0.49216345, 0.00152883504, -0.111685529, 0.106751569, 0.148505718, -0.0244257003,
- -0.124522112, -0.0793261901, -0.06239843, 0.0178808756, -0.020149475, -0.122562669, -0.00836800877, 0.123083413,
- 0.0501387045, -0.0522458851, 0.00971839763, 0.00931108557, -0.0376552269, 0.0195045341, -0.062387418, -0.0182645041,
- -0.045171503, -0.0757033527, -0.056151554, 0.00982440449, -0.0286515914, -0.0500706658, -0.178912789, 0.0360568948,
- 0.329417378, 0.0738657787, 0.232877642, 0.0824860632, 0.0640945211, 0.067990765, -0.28431803},
- {0.0183837861, 0.515438676, -0.491336375, -0.312429279, 0.0106451334, -0.00150087406, 0.047098197, 0.00544585288,
- -0.0360101461, 0.0459187999, -0.108130634, -0.0500531867, 0.074305892, -0.125561178, -0.094122462, 0.175291985,
- 0.0119885188, 0.0493808649, 0.0236062594, -0.0150836483, -0.0566055551, -0.024137022, 0.0637028515, -0.0989008546,
- -0.0587726012, 0.0451450087, -0.00487829279, -0.18765381, -0.116099507, 0.0470896922, -0.0444938652, -0.239010051,
- -0.11746794, -0.0592107065, 0.159408361, -0.0248183478, -0.0252188593, 0.0779711381, 0.126867637},
- {-0.022406701, -1.8515408, 1.19752073, 0.051173266, -0.0769252032, 0.00527154515, -0.0158692878, 0.0218846463,
- -0.0468643792, 0.0444277488, 0.0690413713, 0.0397471637, -0.0220384356, -0.0291984621, -0.0362321846, -0.0315559693,
- 0.00386379892, -0.073595807, 0.00650994573, 0.0623035766, 0.11847882, 0.0220129862, 0.0254727677, -0.0180584695,
- -0.0410494506, 0.00662252074, 0.0429109819, 0.0582324117, 0.0183085594, 0.0580652244, -0.0108405082, 0.0306066182,
- 0.0790425763, 0.0411671028, -0.0438192934, -0.0234463438, -0.0713966042, 0.07518778, 0.13800028},
- {0.0215327796, 0.203414977, -0.348643363, 0.104428224, -0.0250779018, 0.0430746488, -0.0652607456, 0.0836304799,
- -0.0148068313, -0.0231121369, -0.253950626, -0.27574119, -0.134845749, -0.0783734769, 0.197460249, 0.0867555141,
- -0.446333319, -0.173812121, -0.0326885059, -0.0558216944, 0.139414281, -0.110169791, 0.0276528038, -0.0609619878,
- 0.0782978982, -0.144564688, -0.0722558424, 0.142926544, 0.0132102259, -0.0700187534, -0.133962601, -0.152395263,
- -0.0607144162, -0.122603208, 0.00125558174, -0.107026517, 0.210350484, -0.15040797, 0.0103561021},
- {0.0046962644, -0.701673627, 0.101855278, 0.0238310974, 0.0176863316, -0.0196711943, 0.0116997762, 0.00752953999,
- 0.0177178197, -0.0342670195, -0.0589375012, 0.0443790704, -0.0511056408, 0.0408444665, -0.027144691, 0.0166893937,
- -0.00972990878, -0.0399409011, -0.0111636417, 0.0234646946, -0.0617382526, -0.02755275, -0.0770106912, 0.0363901854,
- -0.0153707517, 0.0039392761, -0.030124383, -0.00338749308, 0.0294016805, 0.0457305349, -0.0249644574, -0.0712176487,
- 0.024855325, -0.0116968555, -0.00495077809, 0.0550573207, -0.0130456071, -0.000466924801, 0.0211469084},
- {-0.0140651837, -0.47210151, -1.16673601, 0.0646250322, -0.108423464, -0.00616196916, -0.102787748, -0.130745515,
- -0.18499352, 0.0152442958, 0.0108082257, -0.117657058, 0.0135511504, -0.0540828556, -0.0693387389, 0.0180388689,
- 0.0374678522, -0.00934058148, -0.0349941961, -0.12363261, -0.066048488, -0.0552934185, 0.0556034893, -0.0477472916,
- -0.0399395861, -0.0380369984, 0.00151728035, -0.0183514319, 0.00216195942, -0.00230315328, -0.00691869855, -0.0291660279,
- -0.00243238895, 0.00652827276, -0.0153532652, -0.109382592, -0.0691974387, -0.0370263755, -0.0463435762},
- {0.00780838588, -0.416522354, 0.735910535, 0.0246622637, 0.00306017767, 0.0107882787, 0.0363311246, -0.00030878809,
- 0.0366173312, -0.0407722443, -0.0182531606, -0.0522346646, -0.00242038304, -0.0130401608, 0.0527641587, 0.0175190382,
- -0.0202828832, -0.0319212675, 1.14149252e-05, 0.0464571193, -0.00344156288, 0.00429719454, -0.0349765718, -0.0177266262,
- -0.0546469688, 0.0247087795, -0.00968514103, 0.0136369122, -0.0109840054, -0.0024506133, 0.0118062142, 0.0164425578,
- 0.0290870406, 0.0328523591, -0.00929149706, -0.0379902199, 0.058232218, 0.0130026322, 0.0530603305},
- {-0.0112001421, -0.667560816, 0.621856689, -0.0510394275, -0.0283678435, -0.0199936945, -0.034421131, 0.00821966212,
- 0.0319210254, -0.0391649231, -0.02685651, 0.00598383555, -0.0583808944, 0.0195580777, 0.0281003043, 0.0412431769,
- 0.0302855764, 0.0699800029, 0.0288314056, 0.0150381457, 0.0375687368, 0.0200408977, 0.00927479286, 0.0470453314,
- 0.049982354, 0.0457168669, -0.0453735702, 0.102044225, 0.0573507994, 0.0222815927, 0.0691943988, -0.0239612944,
- -0.0335365199, -0.00402912265, -0.0140459705, -0.00472485367, 0.000277878251, 0.0592397973, -0.0266618542},
- {-0.00793947373, 0.458843797, -1.10990465, 0.0596818216, 0.137771055, 0.0073451628, 0.101913206, 0.0301390365,
- -0.200754136, -0.0541613251, 0.0676935315, 0.0139355669, -0.0311595872, -0.0547302216, -0.0582696125, -0.0907157362,
- -0.00674120244, 0.159997061, 0.0266054906, -0.00339328265, 0.0340176709, -0.0225407016, 0.0923211947, -0.0368102118,
- -0.0302112401, 0.0328989401, -0.0268227458, -0.055212874, -0.0643030629, -0.0171568412, 0.0630252361, -0.0226308964,
- 0.00493162172, -0.117545031, -0.0261731874, 0.0227153189, -0.00772400713, -0.0464286245, 0.0545080565},
- {-0.00117014197, -0.930477142, -0.00830586627, -0.0627162233, 0.000265143201, -0.00898462534, 0.0143059082, 0.0279537383,
- -0.0278343912, 0.00252711284, -0.0491813235, -0.0087069599, -0.00622193422, 0.0180948563, 0.0120221963, -0.0384260044,
- -0.0118745938, -0.0519802086, 0.00980561972, -0.00629175268, -0.0101893581, -0.00764597626, -0.00470837113, 0.0137128988,
- -0.0504154339, -0.0121507812, -0.0156670213, -0.0194378607, 0.0434860997, 0.00770600839, 0.0181797128, -0.0370764211,
- 0.0147308866, 0.0348699987, 0.00415419415, 0.0175121836, -0.0173850749, -0.0287082288, -0.0226698909},
- {-0.0094090905, -0.428160727, 0.0697672069, -0.0791164264, 0.0507349484, 0.0127565637, 0.0681599826, 0.0458464511,
- -0.0544127524, -0.0424964391, 0.0364027061, 0.0510409176, -0.0112645514, 0.115642048, -0.0115270736, -0.0141758351,
- -0.0751062483, 0.102270313, 0.0676256642, 0.00209342409, 0.0129256109, 0.0263991039, 0.0446314588, 0.0365661494,
- 0.063345097, 0.0436342619, 0.0493914373, -0.0325215906, 0.0159222521, 0.0938699991, 0.0208906252, 0.108049683,
- 0.109786369, 0.0750993416, -0.0273827799, 0.00148510432, 0.135106444, 0.0173288956, -0.0112205083},
- {-0.0139317801, 0.227180436, -0.404407948, -0.0418660566, -0.0187193025, 0.193963125, -0.122096457, -0.0860499516,
- -0.00836612098, -0.155951738, -0.036868237, 0.0417216159, 0.0640057623, 0.20753485, 0.0974762961, 0.106464297,
- -0.118873209, 0.119861431, 0.0965417996, 0.205864877, 0.115268797, 0.0630797148, -0.0742385685, -0.0833550841,
- -0.132306442, -0.0900236815, 0.0328928567, 0.0339581892, -0.069514215, 0.0574102551, 0.0557171479, 0.143081516,
- 0.0540916659, 0.125553951, 0.0426946506, -0.0185146332, -0.00297326501, 0.192926303, 0.0224414729},
- {-0.0218674317, 0.159496814, -0.60035038, 0.0543779023, -0.0241881032, 0.0533699393, -0.0364592895, 0.0269613676,
- 0.0276057683, 0.0391895361, -0.0569878481, -0.0964982659, -0.0795290023, 0.0322267152, -0.000109513996, -0.0215753056,
- 0.0655881613, -0.142443448, 0.0461984053, 0.0410717912, 0.0126721114, -0.0492512174, 0.323774725, 0.0182631966,
- -0.00054868951, 0.0212314706, 0.0993990973, 0.127508044, 0.0517479479, -0.0167098138, -0.119035453, -0.0520526394,
- -0.100616075, -0.106658317, -0.11621543, 0.289432019, -0.0543707386, 0.0822149143, -0.123912551},
- {-0.000989211607, -0.709903538, 0.37149182, -0.0909373313, -0.037998978, 0.0198158789, 0.00903437659, 0.0849099755,
- 0.0327719338, 0.070933044, -0.0292004514, -0.0542036481, 0.0360710062, -0.0109692607, -0.00518571399, -0.0641901046,
- 0.0126454318, -0.0358200558, -0.117927425, -0.0353106745, 0.110694788, 0.111871652, 0.0155939749, 0.0265476089,
- 0.0203381851, -0.0776525661, 0.0113046886, -0.000468786544, 0.0242805742, 0.0266677774, 0.0408828259, -0.10218551,
- 0.012831782, 0.0440568775, 0.0116595356, 0.0626022667, -0.0514003746, 0.0140310721, -0.065185301},
- {-0.00623449916, 0.219368055, -1.06808925, -0.0427524187, 0.0306106322, -0.0353905484, 0.0506071523, 0.0584583022,
- 0.0250218082, 0.0441981666, -0.281936914, 0.0182740409, 0.0625585169, 0.0964937881, -0.00854112022, -0.0973323062,
- -0.096263878, -0.0387287997, -0.0174322929, -0.0442129225, 0.0147142839, -0.0723083913, -0.0877401903, -0.0963780582,
- 0.0489082001, 0.0516969748, 0.0381704867, -0.0866447911, 0.0428613834, -0.0150236273, -0.0438821949, 0.113983721,
- 0.0379472822, -0.0755354241, -0.0272512678, -0.0728112757, -0.0516017787, 0.0549347363, -0.137530193},
- {-0.0165789053, -0.0176809691, -0.583721399, -0.116408639, 0.0861298591, -0.0166475996, 0.143127427, -0.213978291,
- -0.144702226, -0.00968549587, -0.130910218, -0.0443522334, -0.0883579999, 0.0294515546, -0.0791936666, 0.0241730176,
- -0.0184481367, 0.091893293, -0.0406294651, -0.0193100367, -0.05470521, 0.0153730977, -0.0442103781, 0.0441130847,
- -0.00520540634, -0.0766363591, -0.103786379, 0.343775153, 0.109110497, -0.061702013, -0.0577796474, -0.108430959,
- -0.0972641855, 0.242045462, -0.106202178, -0.0606107451, -0.0380872525, 0.0351280682, 0.125195846},
- {0.0110406373, -0.324823856, 0.597194493, -0.0147612225, -0.0185518861, -0.00126314966, 0.0321953408, 0.0181207862,
- 0.0192156956, -0.0189139489, -0.0537314266, -0.031529434, 0.0260469709, 0.0138806207, 0.0153375929, 0.0118838623,
- -0.0282750241, 0.0200632513, 0.0234908424, -0.000126554849, 0.00131632539, 0.0373425186, 0.0118429372, -0.00782554876,
- 0.0310025569, 0.0290212389, 0.00156587851, 0.0155985262, 0.0712495223, -0.0207353719, 0.0184272509, 0.0169756357,
- 0.0378302112, 0.0063718115, -0.00742608728, 0.0725825801, 0.0476264097, -0.00656683603, -0.0167687777},
- {-0.0204232931, 0.151650578, -0.715103567, -0.0214345437, -0.0561732762, -0.0349136032, -0.0849863365, 0.126297414,
- -0.20758085, -0.0113630425, -0.0353466421, 0.0597065315, 0.0725762025, -0.0111759789, 0.0507468358, 0.0293463189,
- 0.00880836602, -0.220651895, 0.0540508628, 0.0306186955, 0.115706168, 0.015344087, -0.0778737515, 0.156922922,
- 0.0556053706, 0.121539004, 0.00863413233, -0.00436831033, -0.0124422032, 0.011989437, -0.0404531769, 0.0545137525,
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+ 0.148448229, 0.0714522898, -0.0671178997, 0.11659421, 0.134334296, -0.0497111306, -0.12496423, -0.13255325,
+ 0.00297142635, 0.124170274, 0.113238201, 0.159033462, -0.131185964, 0.0749584585, 0.0039229095, 0.160131067,
+ -0.103444085, -0.101062827, 0.0271235127, 0.085477218, 0.135246396, 0.0841246992},
+ {0.0972777233, -0.0324214324, -0.0501278304, -0.117852397, 0.0668613017, -0.018309541, 0.0630236343, -0.123417608,
+ 0.149540097, -0.0755526274, 0.113613382, 0.0541556701, 0.0144647965, -0.0195463989, 0.12169791, 0.0520371795,
+ -0.014859898, 0.138492092, 0.134409502, 0.0225321352, 0.152222648, 0.00727060111, 0.0552033819, 0.0310191158,
+ 0.0899194553, 0.123631939, 0.0904184803, 0.034310922, 0.0355594009, -0.0873830095, -0.0629013181, 0.0313743614,
+ 0.137224853, -0.113125362, -0.137799174, -0.00136170641, 0.0569311231, 0.00033627369},
+ {0.140582711, 0.0666882843, 0.0628860593, 0.126775816, 0.030946482, 0.0155598279, -0.014883684, -0.0288827959,
+ 0.0355592482, -0.0366797671, 0.0594486594, 0.115711585, 0.0348766446, -0.0938992798, -0.129293278, -0.0878231451,
+ -0.000724876823, 0.0773949102, 0.0322506577, -0.143157914, -0.0329748951, -0.0669301301, 0.107684202, -0.0379990637,
+ -0.065633826, -0.0376346521, 0.0145334285, -0.148802459, -0.0318754539, -0.16022332, 0.0577683561, -0.0665533617,
+ -0.133655116, 0.101930477, 0.119332045, -0.127442241, -0.129697219, -0.0865818784},
};
const float six_dense_biases[SIX_DENSE_NUM] =
{
- 0.0358068012, 0.000898281171, 0.0217367113, -0.0265544746, -0.0845544115, 0.0717771053, -0.0896350667, 0.338159561,
- 0.0275293905, 0.0230685957, -0.00351712457, 0.103906937, 0.517660439, 0.334648579, 0.102573998, 0.101453498,
- -0.0807224065, 0.0408518165, -0.0473203175, 0.115539514, -0.000401440775, -0.108576819, 0.0293965898, -0.00195915299,
- 0.0339241698, 0.0961106047, 0.327096283, 0.0165668819, 0.0520431101, 0.241015151, -0.0268077478, -0.0589138456,
- -0.0555285476, -0.000455619767, 0.146385804, -0.121387199, 0.0519205295, 0.313046634, 0.189322412, 0.0484207943,
- 0.0107734976, 0.0182580184, 0.144846246, 0.0323797129, 0.0367941856, -0.048185993, -0.0814495087, -0.0371007808,
- 0.00476074684, 0.15602544, -0.0435842052, 0.185461104, -0.0419499911, -0.017373234, -0.223312691, -0.0239550043,
- 0.10882584, 0.0511653274, -0.122622646, -0.0466074683, 0.00250071893, 0.0343811512, 0.0257191304, 0.278161705
+ -0.109864615, -0.00545889279, -0.0512907989, -0.0936995149, 0.145228133, 0.136148497, 0.082344763, 0.16194196,
+ -0.0229825824, 0.116574578, -0.0256564897, -0.058733996, -0.14782922, -0.115881361, -0.139623746, 0.14362292,
+ 0.0457916036, 0.0223771594, 0.0677440986, -0.0922927707, -0.0339972936, -0.137796223, 0.0850529596, 0.10865587,
+ -0.138163224, -0.0926693082, -0.0489478298, -0.0663326904, 0.145771638, 0.159281373, -0.0736522749, -0.0456566252,
+ -0.131377712, -0.161315009, 0.113873117, 0.0961941928, -0.0246813763, 0.0113050351, 0.0658195317, -0.131229118,
+ 0.045095697, 0.118296579, -0.0262246486, -0.0172070265, 0.030266799, 0.0645385385, -0.0574949123, -0.111541301,
+ 0.00989755429, 0.0734110475, 0.0109292725, 0.0906195045, -0.0213869791, -0.0550156645, -0.0770896152, 0.0627855435,
+ 0.161606282, -0.136956587, 0.0591680035, 0.117993973, -0.100358412, -0.0904804021, 0.161572158, 0.0794185847
};
const float six_logit_weights[SIX_DENSE_NUM] NN_ALIGNED =
{
- -0.201751411, 0.347819954, 0.493884534, 0.274511665, 0.363753706, -2.35896945, 0.3773655, -0.10685952,
- 0.596209824, -0.224591911, -0.365215212, 0.613381267, -0.242347822, -0.303737462, 0.266811877, 0.37569049,
- -0.282472193, 0.453839839, 0.308412313, -0.165009454, 0.367185861, 0.483189702, 0.318070173, 0.475200891,
- -0.218860522, -0.190120831, -0.580566227, 0.339473605, 0.391757488, -0.149844855, -0.573802054, 0.383461118,
- -0.507005513, 0.357159287, 0.382413357, 0.350407243, 0.304840535, -0.40366289, -0.116036549, 0.332240224,
- -0.232978418, -0.115689844, 0.658053219, 0.35329318, -0.217018828, -0.301838249, 0.337623596, 0.313897252,
- -0.175598681, 0.399216175, -0.425547808, -0.526563704, -0.4182145, 0.280602217, -0.921227634, -0.301986456,
- -0.295262814, 0.333246887, -0.232829303, 0.276836783, -0.210685015, 0.263218731, 0.338431299, -0.461315811
+ 0.0506259352, -0.0670735389, -0.0409830809, 0.0799648017, -0.0936499536, -0.122460753, 0.0720161647, -0.00714924932,
+ 0.0374628901, -0.00931178033, -0.0230136961, 0.00667156279, 0.0823754966, -0.0555169284, -0.00904981792, 0.116692498,
+ -0.0391199738, -0.0115989298, 0.080099836, 0.0469093025, 0.0122002363, 0.0831808001, -0.086982742, 0.0337891877,
+ -0.00255012512, -0.00210243464, -0.124136865, 0.0730553865, 0.0849774629, 0.0424228907, 0.0538319349, -0.021144107,
+ 0.0260899216, 0.103255317, 0.0197341889, 0.0205372721, 0.0432852656, -0.0749761909, 0.0963372439, 0.0757804066,
+ -0.0152295828, 0.0183023214, 0.0326250941, 0.0934210271, -0.0808760673, 0.122171149, 0.118500024, 0.119957089,
+ 0.00975672901, -0.080600068, 0.0614878684, 0.102577716, -0.0595808178, -0.00613754988, 0.0455737859, 0.0759487897,
+ -0.0314992517, 0.0338666737, 0.0178338587, -0.0309750885, -0.0261106789, -0.0142950565, 0.0768712908, -0.121748224
};
-const float six_logit_bias = 0.250789016;
+const float six_logit_bias = -0.076127708;
diff --git a/include/weights_6.h b/include/weights_6.h
index d1a7c99..d927748 100644
--- a/include/weights_6.h
+++ b/include/weights_6.h
@@ -18,7 +18,7 @@
#ifndef WEIGHTS_6_H
#define WEIGHTS_6_H
-#define SIX_INP_NUM (3 + 6 * 6)
+#define SIX_INP_NUM (2 + 6 * 6)
#define SIX_DENSE_NUM 64
#define NN_ALIGNED __attribute__((aligned(16)))
diff --git a/src/match.c b/src/match.c
index 6ae9fa7..459fab5 100644
--- a/src/match.c
+++ b/src/match.c
@@ -40,7 +40,7 @@ static inline float five_cand(tak_state_p state) {
nn_prepare_input(cur_board, state, cand_five_embedding);
return eval_net(cur_board, FIVE_INP_NUM, &cand_five_dense_weights[0][0],
cand_five_dense_biases, cand_five_logit_weights, cand_five_logit_bias,
- FIVE_DENSE_NUM);
+ FIVE_DENSE_NUM, state->ply & 1 ? 1.0f : -1.0f);
}
static inline float six_cand(tak_state_p state) {
@@ -49,7 +49,7 @@ static inline float six_cand(tak_state_p state) {
nn_prepare_input(cur_board, state, cand_six_embedding);
return eval_net(cur_board, SIX_INP_NUM, &cand_six_dense_weights[0][0],
cand_six_dense_biases, cand_six_logit_weights, cand_six_logit_bias,
- SIX_DENSE_NUM);
+ SIX_DENSE_NUM, state->ply & 1 ? 1.0f : -1.0f);
}
diff --git a/src/nn_train.py b/src/nn_train.py
index 9e2b482..0e08da7 100755
--- a/src/nn_train.py
+++ b/src/nn_train.py
@@ -59,8 +59,8 @@ from torch import Tensor
# (input dim, hidden dim) per board size; must match include/weights_<size>.h
NET_DIMS: dict[int, tuple[int, int]] = {
- 5: (28, 64), # FIVE_INP_NUM, FIVE_DENSE_NUM
- 6: (39, 64), # SIX_INP_NUM, SIX_DENSE_NUM
+ 5: (27, 64), # FIVE_INP_NUM, FIVE_DENSE_NUM
+ 6: (38, 64), # SIX_INP_NUM, SIX_DENSE_NUM
}
@@ -121,12 +121,13 @@ class SelfPlayRecords:
results: Tensor # [n] final played result from black's perspective
terminals: Tensor # [n] true when the recorded position is a terminal leaf
terminal_values: Tensor # [n] exact value of a terminal leaf, otherwise 0
+ parity_signs: Tensor # [n] ±1 converting the net's output to "absolute" perspective
@classmethod
def load_selfplay(
cls, fn: Path, size: int, device: torch.device
) -> SelfPlayRecords:
- # [net input] [game_id] [played result] [terminal flag] [leaf result]
+ # [net input] [game_id] [played result] [terminal flag] [leaf result] [parity sign]
df = pd.read_csv(fn, header=None)
inp_dim = NET_DIMS[size][0]
return cls(
@@ -154,6 +155,11 @@ class SelfPlayRecords:
dtype=torch.float32,
device=device,
),
+ parity_signs=torch.tensor(
+ df.iloc[:, inp_dim + 4].to_numpy(dtype=np.float32),
+ dtype=torch.float32,
+ device=device,
+ ),
)
@classmethod
@@ -167,14 +173,15 @@ class SelfPlayRecords:
results=torch.concat([spr.results for spr in sprs]),
terminals=torch.concat([spr.terminals for spr in sprs]),
terminal_values=torch.concat([spr.terminal_values for spr in sprs]),
+ parity_signs=torch.concat([spr.parity_signs for spr in sprs]),
)
def make_training_data(
self, model: Module, td_lambda: float
- ) -> tuple[Tensor, Tensor]:
+ ) -> tuple[Tensor, Tensor, Tensor]:
model.eval()
with torch.no_grad():
- values = model(self.positions)
+ values = model(self.positions) * self.parity_signs
targets = torch.empty_like(values)
@@ -191,7 +198,7 @@ class SelfPlayRecords:
game_targets[game_terminals] = game_terminal_values[game_terminals]
targets[in_game] = game_targets
- return self.positions, targets
+ return self.positions, targets, self.parity_signs
# ===================================================================
@@ -208,10 +215,10 @@ class Net(Module):
self.output = Linear(hidden, 1, bias=True)
def forward(self, x: Tensor) -> Tensor:
- # x: [n, 3 + n_cells]; the first 3 columns are the fixed head
+ # x: [n, 2 + n_cells]; the first 2 columns are the fixed head
# inputs, the rest are raw cell states (0..6)
n = x.shape[0]
- inp = torch.cat([x[:, :3], self.embedding(x[:, 3:].long()).view(n, -1)], dim=1)
+ inp = torch.cat([x[:, :2], self.embedding(x[:, 2:].long()).view(n, -1)], dim=1)
hidden = silu(self.hidden(inp))
return tanh(self.output(hidden)).squeeze(-1)
@@ -226,7 +233,9 @@ class Net(Module):
lr: float,
) -> tuple[float, float]:
# data
- positions, targets = self_play_records.make_training_data(self, td_lambda)
+ positions, targets, parity_signs = self_play_records.make_training_data(
+ self, td_lambda
+ )
n = len(positions)
perm = torch.randperm(n, device=positions.device)
n_val = max(1, int(n * val_frac))
@@ -235,8 +244,10 @@ class Net(Module):
val_positions = positions[val_idx]
val_targets = targets[val_idx]
+ val_parity_signs = parity_signs[val_idx]
train_positions = positions[train_idx]
train_targets = targets[train_idx]
+ train_parity_signs = parity_signs[train_idx]
# training widgets
optimizer = torch.optim.AdamW(self.parameters(), lr=lr)
@@ -253,14 +264,16 @@ class Net(Module):
for start in range(0, len(train_positions), batch):
batch_idx = order[start : start + batch]
optimizer.zero_grad()
- predictions = self(train_positions[batch_idx])
+ predictions = (
+ self(train_positions[batch_idx]) * train_parity_signs[batch_idx]
+ )
loss = loss_fn(predictions, train_targets[batch_idx])
loss.backward()
optimizer.step()
with torch.no_grad():
self.eval()
- predictions = self(val_positions)
+ predictions = self(val_positions) * val_parity_signs
mse = loss_fn(predictions, val_targets).item()
corr = torch.corrcoef(torch.stack([predictions, val_targets]))[
0, 1
@@ -532,7 +545,7 @@ def main() -> None:
_ = p.add_argument(
"--iters",
type=int,
- default=100,
+ default=20,
help="max loop iterations",
)
_ = p.add_argument(
diff --git a/src/selfplay.c b/src/selfplay.c
index 5ffa6f6..42d82d2 100644
--- a/src/selfplay.c
+++ b/src/selfplay.c
@@ -38,10 +38,11 @@
static tak_state_p state;
-static float row_head[MAX_PLY][3];
+static float row_head[MAX_PLY][2];
static uint8_t row_cells[MAX_PLY][MAX_CELLS];
static uint8_t row_term[MAX_PLY];
static float row_terminal_value[MAX_PLY];
+static float row_parity_sign[MAX_PLY];
static uint32_t row_game_id[MAX_PLY];
static uint32_t n_rows;
@@ -90,6 +91,7 @@ static int play_game(const uint8_t min_ply) {
memcpy(row_cells[n_rows], leaf->cells, sizeof(row_cells[n_rows]));
row_term[n_rows] = leaf->terminal;
row_terminal_value[n_rows] = leaf->terminal_value;
+ row_parity_sign[n_rows] = leaf->parity_sign;
row_game_id[n_rows] = state->current_colour == C_BLACK ? game_id_black : game_id_white;
n_rows++;
}
@@ -114,12 +116,11 @@ static int play_game(const uint8_t min_ply) {
const float R = win_value(state->won);
for (uint32_t k = 0; k < n_rows; k++) {
- fprintf(stdout, "%.8f,%.8f,%.8f,", row_head[k][0], row_head[k][1],
- row_head[k][2]);
+ fprintf(stdout, "%.8f,%.8f,", row_head[k][0], row_head[k][1]);
for (uint8_t c = 0; c < n_cells; c++)
fprintf(stdout, "%u,", (unsigned)row_cells[k][c]);
- fprintf(stdout, "%u,%.0f,%u,%.0f\n", row_game_id[k], R,
- (unsigned)row_term[k], row_terminal_value[k]);
+ fprintf(stdout, "%u,%.0f,%u,%.0f,%.0f\n", row_game_id[k], R,
+ (unsigned)row_term[k], row_terminal_value[k], row_parity_sign[k]);
}
return (int)n_rows;
@@ -129,7 +130,7 @@ const char *usage =
"selfplay, one game of asymmetric self-play training data.\n\n\
Usage: selfplay <size> <depth> <min_ply>\n\n\
Plays a single game of <size>x<size> self-play, with <min_ply> moves made randomly. Only the deterministic plies are written to stdout, one CSV row per recorded search, from ply <min_ply> onwards:\n\n\
-\tparity,white_flats,black_flats,<cell ids...>,game_id,R,terminal,leaf_R\n\n\
+\tmover_flats,opponent_flats,<cell ids...>,game_id,R,terminal,leaf_R,parity_sign\n\n\
nn_train.py runs many of these in parallel to generate training data.\n\n\
Copyright (C) 2026, tslil clingman\n\n\
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.";
generated by cgit v1.3.1 (git 2.54.0) at 2026-10-15 14:46:35 +0000